Recurrent models have been widely employed in signal processing and statistical pattern recognition, notably in the form of Kalman's state space filter [1]}, [2]} and hidden Markov models (HMMs) [3]}, [4]}, [5]}, [6]}. Both approaches use a forward-backward training procedure to make a statistical estimation of the model parameters.
